Integrity report for When Data Is Scarce: Scaling Sparse Language Models with Repeated Training

A machine-verified record of the checks Pith has run against this paper: detector runs, findings, signed bundle events, and canonical identifiers.

arXiv:2606.01155 · pith:2026:Y4TP3YMSNROFUNPRF27EOR6MHZ

0Critical

0Advisory

2Detectors run

2026-06-02Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-06-02 04:35:16.290336+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-06-02 04:27:36.529937+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/Y4TP3YMSNROFUNPRF27EOR6MHZ/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.